Senior Machine Learning Engineer

Merqato
Amsterdam, Netherlands
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
€ 7.1K

Job location

Amsterdam, Netherlands

Tech stack

Clean Code Principles
Azure
Software as a Service
Cloud Computing
Continuous Integration
Python
Machine Learning
Backtesting
TensorFlow
Software Engineering
SQL Databases
Feature Engineering
Data Ingestion
Prophet
Spark
Pandas
Scikit Learn
XGBoost
Machine Learning Operations
Data Pipelines

Job description

As a Senior Machine Learning Engineer, you will take a leading role in designing, building, and running Merqato's forecasting systems in production. You will work end-to-end, from data ingestion and feature engineering to model deployment, monitoring, and continuous improvement., * Design, implement, and maintain time-series and causal forecasting models for demand, supply, and pricing

  • Build and maintain scalable ML pipelines, including feature stores, training and validation workflows, CI/CD for models, and automated retraining
  • Implement monitoring and observability for models (data drift, performance tracking, explainability)
  • Design and manage cloud-native ML architecture (preferably on Azure) that is secure, scalable, and maintainable
  • Define and promote ML engineering best practices within the team
  • Collaborate closely with product and engineering teams to translate business requirements into robust ML solutions

Requirements

This role is ideal for an experienced ML engineer who enjoys working hands-on in a scale-up environment and wants to grow toward technical leadership., * 6+ years of experience building and deploying machine learning models into production

  • Strong ML and software engineering skills (clean code, testing, CI/CD, data pipelines)
  • Solid experience with time-series forecasting, feature engineering, backtesting, and uncertainty estimation
  • Hands-on experience with Python and frameworks such as scikit-learn, XGBoost, Prophet, or TensorFlow, as well as SQL, Pandas, and Spark
  • Experience with cloud platforms (Azure preferred) and MLOps practices
  • Strong ownership mindset and excellent communication skills
  • Experience in a scale-up or product-driven SaaS environment is a plus

Benefits & conditions

  • Competitive salary (€70,000 - €85,000 per year, depending on experience)
  • Hybrid working model, with at least two days per week in the Amsterdam office
  • High level of ownership and direct impact within a growing company
  • Clear growth path toward technical leadership roles (e.g., ML Lead)
  • The opportunity to work on technology with real-world impact, reducing food waste and improving sustainability in the food supply chain

Salaris: €70.000,00 - €85.000,00 per jaar

Werklocatie: Fysiek   If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.

About the company

Merqato is a fast-growing AgriTech SaaS scale-up using AI-driven forecasting to help companies in the fresh produce supply chain make better decisions. Our platform improves demand, supply, and price forecasting, helping customers reduce waste, increase margins, and build more resilient food supply chains.

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